The guide give me the descrption at Define Entry-Point Function:
An entry-point function is a function you define for code generation. Because you cannot call any function at the top level using codegen, you must define an entry-point function that calls code-generation-enabled functions, and then generate C/C++ code for the entry-point function by using codegen.
In your current folder, define a function named mypredictCL.m that:
- Accepts a numeric matrix (X) of raw observations containing the same predictor variables as the ones passed into Classification Learner
- Loads the classification model in ClassificationLearnerModel.mat and the model parameters in ModelParameters.mat
- Removes the predictor variables corresponding to the indices in removeVars
- Transforms the remaining predictor data using the PCA centers (pcaCenters) and coefficients (pcaCoefficients) estimated by Classification Learner
- Returns predicted labels using the model
Now I have written an entry-point function as:
function label = mypredictCL(X)
mdl = loadLearnerForCoder('ClassificationLearnerModel.mat');
args = coder.load('ModelParameters.mat');
X(:,args.removeVars) = [];
X = bsxfun(@minus,X,args.pcaCenters)*args.pcaCoefficients; preprocess the data
And then, I run the code in command window:
p = size(creditrating,2) - 1;
x = coder.typeof(0,[Inf,p],[1 0]);
codegen mypredictCL -args x
I get the error: Unable to delete elements from this array because dimension 2 has fixed size 7.
I want to know what is the right way to remove the variables in entry-point function?
